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2018 | OriginalPaper | Chapter

An Automatic Spontaneous Speech Recognition System for Punjabi Language

Authors : Yogesh Kumar, Navdeep Singh

Published in: Speech and Language Processing for Human-Machine Communications

Publisher: Springer Singapore

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Abstract

Punjabi is a very tonal language, making employ of a range of tones to distinguish words that would otherwise be alike. Three main tones can be recognized: high-rising-falling, mid-rising-falling, and low rising. Some work has been done in the field of isolated word, connected word, and continuous speech recognition system for Punjabi language. Spontaneous speech recognition is one area where no work has been done so far for Punjabi language. Spontaneous speech and speech from written language are exceptionally dissimilar both acoustically and linguistically. Spontaneous speech contains crammed silence, preservation, faltering, duplications, incomplete vocabulary, and stuttering. In this paper, an effort has been made to build an automatic spontaneous speech recognizer to recognize Punjabi live speech by using speech recognition model using sphinx toolkit.

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previous chapter Approach for Information Retrieval by Using Self-Organizing Map and Crisp Set
next chapter A System for the Conversion of Digital Gujarati Text-to-Speech for Visually Impaired People
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Metadata
Title
An Automatic Spontaneous Speech Recognition System for Punjabi Language
Authors
Yogesh Kumar
Navdeep Singh
Copyright Year
2018
Publisher
Springer Singapore
Book
Speech and Language Processing for Human-Machine Communications

Print ISBN: 978-981-10-6625-2

Electronic ISBN: 978-981-10-6626-9

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-6626-9_7